Medical Imaging

RadImageNet-VQA: A Large-Scale CT and MRI Dataset for Radiologic Visual Question Answering MIDL 2026 RadVLM-GRPO: Enhancing Chest X-ray Report Generation and Visual Grounding via Reinforcement Learning MIDL 2026 RandP: Effective and Efficient Medical Visual In-Context Learning via a Retrieve-and-Propagate Module for Prompt-Query Fusion MIDL 2026 RDFace: A Benchmark Dataset for Rare Disease Facial Image Analysis under Extreme Data Scarcity and Phenotype-Aware Synthetic Generation CVPR 2026 Real-Time Tracking of Flexible Markers in Low-Contrast Fluoroscopy Using a Deep Neural Network Trained Solely on Synthetic Data WACV 2026 Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework ACL 2026 Rendering with a Gut Feeling: Depth-Guided Triangle Splatting for Physically Consistent Colonoscopic Reconstruction MIDL 2026 Rethinking Box Supervision: Bias-Free Weakly Supervised Medical Segmentation CVPR 2026 Revealing Hidden Failure Modes in Chest X-ray Classification via Spectral Domain Analysis MIDL 2026 REVEAL: Multimodal Vision–Language Alignment of Retinal Morphometry and Clinical Risks for Incident AD and Dementia Prediction MIDL 2026 Revisiting 2D Foundation Models for Scalable 3D Medical Image Classification CVPR 2026 Revisiting Pose Sensitivity in Splat-based Computed Tomography under Sparse-view Reconstruction CVPR 2026 Robust Multi-Scale Implicit Neural Representations for Large-Deformation Lung Registration MIDL 2026 SAC-Diff: A Scan-Aware Consistency-Enhanced Diffusion Framework for Unsupervised Chest CT Anomaly Detection MIDL 2026 SAR2Net: Learning Spatially Anchored Representations for Retrieval-Guided Cross-Stain Alignment CVPR 2026 Scalable Detection of Undiagnosed ILD in Population Screening: A Multi-Cohort Study using 3D Foundation Models MIDL 2026 ScoliGaitX: A Deep Multi-Modal Fusion Network for Scoliosis Assessment via Gait Video Analysis WACV 2026 SD-FSMIS: Adapting Stable Diffusion for Few-Shot Medical Image Segmentation CVPR 2026 SEG4SEG: Identifying Systematic Failure Modes in Segmentation by Subgroup Discovery Methods MIDL 2026 SegMaST: Mamba-based Spatio-Temporal Modeling to Improve Longitudinal Disease Detection and Segmentation MIDL 2026 SegMoTE: Token-Level Mixture of Experts for Medical Image Segmentation CVPR 2026 Semi-supervised Echocardiography Video Segmentation via Anchor Semantic Awareness and Continuous Pseudo-label Reforging CVPR 2026 Semi-supervised Key-Point Estimation for Echocardiography Video WACV 2026 Semi-Synthetic Localization Datasets for Radiological Findings on Chest X-Rays MIDL 2026 SHAPE: Structure-aware Hierarchical Unsupervised Domain Adaptation with Plausibility Evaluation for Medical Image Segmentation CVPR 2026